Beici Liang

Classification of Piano Pedaling Techniques Using Gesture Data from a Non-Intrusive Measurement System

György Fazekas, Mark Sandler, Andrew McPherson, 2016 .

Detection of Piano Pedaling Techniques on the Sustain Pedal

György Fazekas, Mark Sandler, Beici Liang, 2017 .

Piano Sustain-pedal Detection Using Convolutional Neural Networks

György Fazekas, Mark Sandler, Beici Liang, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation pdf

Ke Chen, Beici Liang, Xiaoshuan Ma, 2020, ArXiv.

Measurement, Recognition, and Visualization of Piano Pedaling Gestures and Techniques

György Fazekas, Mark Sandler, Beici Liang, 2018, Journal of the Audio Engineering Society.

Recognition of Piano Pedalling Techniques Using Gesture Data

György Fazekas, Mark B. Sandler, Beici Liang, 2017, Audio Mostly Conference.

Piano pedaller: a measurement system for classification and visualisation of piano pedalling techniques

György Fazekas, Mark B. Sandler, Andrew P. McPherson, 2017, NIME.

Transfer Learning for Piano Sustain-Pedal Detection

György Fazekas, Mark Sandler, Beici Liang, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Phase-Aware Music Super-Resolution Using Generative Adversarial Networks

Bin Zhang, Simon Lui, Beici Liang, 2020, INTERSPEECH.

Piano Legato-Pedal Onset Detection Based on a Sympathetic Resonance Measure

György Fazekas, Mark B. Sandler, Beici Liang, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Large-scale singer recognition using deep metric learning: an experimental study

Simon Lui, Beici Liang, Shichao Hu, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Learning Audio Embeddings with User Listening Data for Content-Based Music Recommendation

Ke Chen, Beici Liang, Minwei Gu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).